plot.flowCore: Scatterplot / 1-D Density Plot of Filtering (Clustering)...

In flowClust: Clustering for Flow Cytometry

Description

Depending on the dimensions specified, this method generates either a scatterplot or a one-dimensional density plot (histogram) based on the robust model-based clustering results.

Usage

## S4 method for signature 'flowFrame,tmixFilterResult'
plot(x, y, z = NULL, ...)

## S4 method for signature 'flowFrame,tmixFilterResultList'
plot(x, y, z = NULL, ...)

Arguments

x	Object of class flowFrame. This is the data object on which filter was performed.
y	Object of class tmixFilterResult or tmixFilterResultList returned from running filter.
z	A character vector of length one or two containing the name(s) of the variable(s) selected for the plot. If it is of length two, a scatterplot will be generated. If it is of length one, a 1-D density plot will be made. If it is unspecified, the first one/two variable(s) listed in y@varNames will be used.
...	All optional arguments passed to the plot or hist method with signature 'flowClust'. Note that arguments x, data and subset have already been provided by y, x and z above respectively.

Note

This plot method is designed such that it resembles the argument list of the plot method defined in the flowCore package. The actual implementation is done through the plot or hist method defined for a flowClust object.

Author(s)

Raphael Gottardo <[e-mail]>, Kenneth Lo <[e-mail]>

References

Lo, K., Brinkman, R. R. and Gottardo, R. (2008) Automated Gating of Flow Cytometry Data via Robust Model-based Clustering. Cytometry A 73, 321-332.

See Also

filter, plot, hist

flowClust documentation built on Nov. 8, 2020, 7:34 p.m.